LMest: Latent Markov Models with and without Covariates

Fit certain versions of the Latent Markov model for longitudinal categorical data.

AuthorFrancesco Bartolucci, Silvia Pandolfi - University of Perugia (IT)
Date of publication2016-08-23 15:25:06
MaintainerFrancesco Bartolucci <bart@stat.unipg.it>
LicenseGPL (>= 2)
Version2.3

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Man pages

blkdiag: Build a block diagonal matrix.

bootstrap_lm_basic: Parametric bootstrap for the basic LM model

bootstrap_lm_cov_latent: Parametric bootstrap for LM models with individual covariates...

complk: Complete log-likelihood of the basic latent Markov model

data_criminal_sim: Criminal dataset

data_drug: Dataset about marijuana consumption

data_SRHS_long: Self-reported health status dataset

decoding: Perform local and global decoding

draw_lm_basic: Draw samples from the basic LM model

draw_lm_cov_latent: Draw samples from LM model with covariaates in the latent...

draw_lm_mixed: Draws samples from the mixed LM model

est_lm_basic: Estimate basic LM model

est_lm_cov_latent: Estimate LM model with covariates in the latent model

est_lm_cov_manifest: Estimate LM model with covariates in the measurement model

est_lm_mixed: Estimate mixed LM model

est_multilogit: Estimate multilogit model

expit: Compute the expit function.

expit1: Compute the expit function with respect to a reference...

invglob: Invert vector of global logits.

lk_ar_rho: Compute complete log-likelihood for AR(1) latent process

lk_comp_latent: Complete log-likelihood of the latent Markov model with...

lk_obs: Compute the observable log-likelihood of the basic LM model

lk_obs_latent: Compute the observable log-likelihood of the LM model with...

lk_obs_manifest: Compute the observable log-likelihood of the LM model with...

lk_obs_mixed: Compute the observable log-likelihood of the mixed LM model

lk_sta: Compute the stationary log-likelihood

LMest-package: Fit latent Markov models

logit1: Compute the logit function with respect to a reference...

long2matrices: From data in the long format to data in array format

long2wide: From data in the long format to data in the wide format

marg_param: Compute marginal parametrization

print.LMbasic: Print the output of LMbasic object

print.LMlatent: Print the output of LMlatent object

print.LMmanifest: Print the output of LMmanifest object

print.LMmixed: Print the output of LMmixed object

print.LMsearch: Print the output of LMsearch object

prob_multilogit: Compute multinomial probabilities

prob_post_cov: Compute posterior probabilities.

prod_array: Compute the product of array and vector

rec1: Recursions used by est_lm_cov_manifest

rec3: Recursions used by est_lm_cov_manifest

recursions: Recursions used by est_lm_basic

RLMSdat: Dataset about job satisfaction

search.model.LM: Search for the global maximum of the log-likelihood

sq: Create a matrix with the combination of vectors of (1,0)

stationary: Stationary

summary.LMbasic: Print the output of LMbasic object

summary.LMlatent: Print the output of LMlatent object

summary.LMmanifest: Print the output of LMmanifest object

summary.LMmixed: Print the output of LMmixed object

summary.LMsearch: Print the output of LMsearch object

trans_par: Convert matrix parametrization

Files in this package

LMest
LMest/src
LMest/src/nr_multilogit.f
LMest/src/BWforback.f
LMest/src/for_mult.f
LMest/src/prob_multilogit.f
LMest/src/sum_Y.f
LMest/src/back.f
LMest/NAMESPACE
LMest/data
LMest/data/RLMSdat.rda
LMest/data/data_criminal_sim.rda
LMest/data/data_SRHS_long.rda
LMest/data/data_drug.rda
LMest/R
LMest/R/bootstrap_lm_basic.R LMest/R/expit1.R LMest/R/trans_par.R LMest/R/print.LMbasic.R LMest/R/est_lm_basic.R LMest/R/print.LMmixed.R LMest/R/summary.LMlatent.R LMest/R/search.model.LM.R LMest/R/complk.R LMest/R/logit1.R LMest/R/decoding.R LMest/R/lk_obs_manifest.R LMest/R/recursions.R LMest/R/draw_lm_basic.R LMest/R/prob_multilogit.R LMest/R/lk_comp_latent.R LMest/R/marg_param.R LMest/R/est_lm_cov_manifest.R LMest/R/summary.LMmanifest.R LMest/R/draw_lm_mixed.R LMest/R/draw_lm_cov_latent.R LMest/R/summary.LMbasic.R LMest/R/print.LMsearch.R LMest/R/lk_ar_rho.R LMest/R/est_lm_cov_latent.R LMest/R/print.LMlatent.R LMest/R/bootstrap_lm_cov_latent.R LMest/R/invglob.R LMest/R/sq.R LMest/R/expit.R LMest/R/print.LMmanifest.R LMest/R/lk_obs_latent.R LMest/R/lk_obs.R LMest/R/summary.LMmixed.R LMest/R/prod_array.R LMest/R/summary.LMsearch.R LMest/R/rec3.R LMest/R/stationary.R LMest/R/est_lm_mixed.R LMest/R/rec1.R LMest/R/prob_post_cov.R LMest/R/lk_sta.R LMest/R/est_multilogit.R LMest/R/long2wide.R LMest/R/blkdiag.R LMest/R/lk_obs_mixed.R LMest/R/long2matrices.R
LMest/MD5
LMest/DESCRIPTION
LMest/man
LMest/man/bootstrap_lm_basic.Rd LMest/man/draw_lm_basic.Rd LMest/man/lk_obs_mixed.Rd LMest/man/summary.LMbasic.Rd LMest/man/draw_lm_mixed.Rd LMest/man/summary.LMlatent.Rd LMest/man/prod_array.Rd LMest/man/marg_param.Rd LMest/man/RLMSdat.Rd LMest/man/lk_comp_latent.Rd LMest/man/blkdiag.Rd LMest/man/long2matrices.Rd LMest/man/LMest-package.Rd LMest/man/prob_post_cov.Rd LMest/man/decoding.Rd LMest/man/rec1.Rd LMest/man/invglob.Rd LMest/man/est_lm_cov_latent.Rd LMest/man/summary.LMmanifest.Rd LMest/man/est_lm_cov_manifest.Rd LMest/man/est_lm_basic.Rd LMest/man/draw_lm_cov_latent.Rd LMest/man/print.LMlatent.Rd LMest/man/recursions.Rd LMest/man/rec3.Rd LMest/man/data_SRHS_long.Rd LMest/man/complk.Rd LMest/man/stationary.Rd LMest/man/prob_multilogit.Rd LMest/man/sq.Rd LMest/man/print.LMsearch.Rd LMest/man/expit.Rd LMest/man/print.LMmanifest.Rd LMest/man/data_criminal_sim.Rd LMest/man/lk_sta.Rd LMest/man/bootstrap_lm_cov_latent.Rd LMest/man/logit1.Rd LMest/man/lk_ar_rho.Rd LMest/man/print.LMbasic.Rd LMest/man/summary.LMsearch.Rd LMest/man/lk_obs.Rd LMest/man/est_lm_mixed.Rd LMest/man/summary.LMmixed.Rd LMest/man/long2wide.Rd LMest/man/lk_obs_latent.Rd LMest/man/print.LMmixed.Rd LMest/man/est_multilogit.Rd LMest/man/search.model.LM.Rd LMest/man/trans_par.Rd LMest/man/lk_obs_manifest.Rd LMest/man/data_drug.Rd LMest/man/expit1.Rd

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